diff --git a/ami/taxa/serializers.py b/ami/taxa/serializers.py
new file mode 100644
index 000000000..6f091ab23
--- /dev/null
+++ b/ami/taxa/serializers.py
@@ -0,0 +1,19 @@
+from ami.base.serializers import DefaultSerializer
+from ami.taxa.models import TaxonObserved
+
+
+class TaxonObservedSerializer(DefaultSerializer):
+    class Meta:
+        model = TaxonObserved
+        fields = [
+            "id",
+            "taxon",
+            "project",
+            "detections_count",
+            "occurrences_count",
+            "best_detection",
+            "best_determination_score",
+            "last_detected",
+            "created_at",
+            "updated_at",
+        ]
diff --git a/ami/taxa/views.py b/ami/taxa/views.py
index 60f00ef0e..fde81a2d6 100644
--- a/ami/taxa/views.py
+++ b/ami/taxa/views.py
@@ -1 +1,16 @@
-# Create your views here.
+import logging
+
+from ami.main.api.views import DefaultViewSet
+from ami.taxa.models import TaxonObserved
+from ami.taxa.serializers import TaxonObservedSerializer
+
+logger = logging.getLogger(__name__)
+
+
+class TaxonObservedViewSet(DefaultViewSet):
+    """
+    Endpoint for taxa information that have been observed in a project.
+    """
+
+    queryset = TaxonObserved.objects.all()
+    serializer_class = TaxonObservedSerializer
diff --git a/config/api_router.py b/config/api_router.py
index 8950a3820..239f354c7 100644
--- a/config/api_router.py
+++ b/config/api_router.py
@@ -8,6 +8,7 @@
 from ami.labelstudio import views as labelstudio_views
 from ami.main.api import views
 from ami.ml import views as ml_views
+from ami.taxa import views as taxa_views
 
 if settings.DEBUG:
     router = DefaultRouter()
@@ -26,6 +27,7 @@
 router.register(r"captures", views.SourceImageViewSet)
 router.register(r"detections", views.DetectionViewSet)
 router.register(r"occurrences", views.OccurrenceViewSet)
+router.register(r"taxa/observed", taxa_views.TaxonObservedViewSet)
 router.register(r"taxa", views.TaxonViewSet)
 router.register(r"ml/algorithms", ml_views.AlgorithmViewSet)
 router.register(r"ml/pipelines", ml_views.PipelineViewSet)